Multi-Criteria Decision Making (MCDM) methods are famous approaches to structure information and decision evaluation in problems with multiple, conflicting goals. This paper proposes a fusion approach for solving the alternative selection problem. It has three advantages described as below: (1) it uses the entropy method and the ME-OWA operator to get the value of the attribute weight; (2) it u...

The multiple attribute mixed type decision making is performed by four methods, that is, the relative approach degree of grey TOPSIS method, the relative approach degree of grey incidence , the relative membership degree of grey incidence and the grey relation relative approach degree method using the maximum entropy estimation, respectively. In these decision making methods, the grey incidence...

Data mining is an interdisciplinary field of computer science and is referred to extracting or mining knowledge from large amounts of data. Classification is one of the data mining techniques that maps the data into the predefined classes and groups. It is used to predict group membership for data instances. There are many areas that adapt Data mining techniques such as medical, marketing, tele...

In this article, the problem of choosing from a set of design alternatives based upon multiple, conflicting, and uncertain criteria is investigated. The problem of selection over multiple attributes becomes harder when risky alternatives exist. The overlap measure method developed in this article models two sources of uncertainties – imprecise or risky attribute values provided to the decision ...

To deal with the uncertain network public sentiment emergency of which attribute represented by intuitionistic fuzzy language term, we present a new information entropy measure for intuitionistic fuzzy value. By using the entropy measure, the weight of each sentiment attribute of emergency can be determined. Then by means of the information fusion technique of intuitionistic fuzzy sentiment att...

The linguistic interval-valued Pythagorean fuzzy (LIVPF) sets, which absorb the advantages of terms set and can efficiently describe decision makers’ evaluation information in multi-attribute group decision-making (MAGDM) problems. When investigating aggregation operators information, we have to consider two important issues, viz. operational rules LIVPF numbers functions. classical Archimedean...